Quidget is an AI-powered tool that automates up to 80% of customer support inquiries with a user-friendly no-code interface. It integrates seamlessly with platforms like Zendesk, Slack, WhatsApp, and Google Docs, enabling businesses to deploy and customize chatbots quickly. With features like multi-language support and advanced analytics, Quidget enhances global customer service by providing actionable insights and streamlining operations. This reduces operational costs and allows support teams to focus on complex issues, improving overall efficiency and customer satisfaction.
Customer Service Optimization: Automate routine inquiries such as order status, FAQs, and product information to improve response times and reduce workload on support teams.
Lead Generation: Engage website visitors with AI chatbots to capture leads, qualify prospects, and direct them to the appropriate sales channels.
Global Support: Provide multilingual support to a diverse customer base, ensuring consistent service across different regions and languages.
Onboarding and Training: Use chatbots to guide new users through onboarding processes, offer tutorials, and answer common setup questions.
Support Ticket Management: Automatically categorize and prioritize support tickets, routing them to the appropriate human agents based on complexity.
E-Commerce Assistance: Assist customers with product recommendations, order tracking, and return processes, enhancing the overall shopping experience.
Survey and Feedback Collection: Collect customer feedback and conduct surveys through interactive chatbots to gain insights into customer satisfaction and areas for improvement.
Appointment Scheduling: Automate the scheduling of appointments or meetings, send reminders, and manage cancellations efficiently.
Internal Support: Provide automated responses to internal team queries, such as IT support or HR-related questions, streamlining internal operations.
Crisis Management: Quickly address common customer concerns during high-demand periods or crises, reducing the strain on support teams and ensuring timely responses.
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